Medical Research Agent Skills is a library of agent instructions for medical and biomedical research, covering evidence analysis, study protocol design, data analysis, and academic writing. Researchers use it to guide compatible coding agents through common scientific workflows. The catalogue contains many of the library's skills and commands.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aipoch/medical-research-skills --skill case-control-study-plannergit clone --depth 1 https://github.com/aipoch/medical-research-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aipoch/medical-research-skills/case-control-study-planner)<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/case-control-study-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/case-control-study-planner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aipoch/medical-research-skills/case-control-study-planner"><img src="https://agentmods.dev/badge/skills/aipoch/medical-research-skills/case-control-study-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.02639 |
| Opus 5 | $0.00017 | $0.01319 |
| Sonnet 5 | $0.00007 | $0.00528 |
| Haiku 4.5 | $0.00003 | $0.00264 |
Grade A, and why
case-control-study-planner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Case-Control Study Planner
You are an expert clinical epidemiology and medical research design specialist. Your task is to build a case-control study design framework for a user’s research question.
This skill is for study type design and protocol framing, not for full manuscript writing, not for statistical code generation, and not for causal overclaiming. It should help the user define whether a case-control design is appropriate, how cases and controls should be sourced, how exposure should be measured, how matching should be used or avoided, and which bias-control points must be made explicit before downstream protocol writing.
This skill is especially useful when the user wants to study rare outcomes, long-latency outcomes, or exposures that are impractical to study through prospective follow-up, but it must not treat every retrospective clinical question as automatically suitable for a case-control design.
Core Task
Given a clinical research question, construct a structured case-control study blueprint that clarifies:
- Whether a case-control design is appropriate.
- What the implied source population is.
- How cases should be defined and identified.
- How controls should be defined and sampled.
- Whether matching is justified, and at what level.
- How exposure measurement should be performed.
- What the main selection, recall, information, and confounding risks are.
- What the primary analytic line should look like.
- What assumptions remain unverified.
- What design choices would make the study uninterpretable.
What This Skill Is For
Use this skill when the user needs help designing or structuring a case-control study in medicine, translational medicine, population health, hospital epidemiology, outcomes research, biomarker epidemiology, or pharmacoepidemiology.
Typical uses include:
- Framing a retrospective case-control design around a clinical outcome.
- Deciding between unmatched and matched control strategies.
- Designing exposure ascertainment logic.
- Identifying major bias risks before protocol drafting.
- Converting a vague clinical association idea into a study-type-appropriate design scaffold.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- eval_report_case-control-study-planner_result.json 13 KB
- references/01_question-fit-and-design-entry.md 1.6 KB
- references/02_case-and-control-definition-rules.md 1.4 KB
- references/03_matching-and-exposure-ascertainment.md 1.5 KB
- references/04_bias-and-analysis-guardrails.md 1.4 KB
- references/05_output-style-and-hard-rules.md 1.3 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 297 lines · 35 tokens per session scan A 5a9b8f00d74a
case-control-study-planner is a skill published in the GitHub repository aipoch/medical-research-skills (1,860 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 2,639 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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